The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
C.w. Huang - One of the best experts on this subject based on the ideXlab platform.
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Temperature Effect to Distribution Feeder Load Profiles and Losses
2006 International Conference on Power System Technology, 2006Co-Authors: C.s. Chen, M. S. Kang, T. T. Ku, J. S. Huang, Z. S. Chiou, C.w. HuangAbstract:A systematic procedure is proposed to study the effect to temperature change to distribution feeder load profiles and losses by using the typical load patterns of Customer Classes. The database of an automated mapping/facility management (AM/FM) system is used to retrieve the component attributes and the topology process is executed to determine the electrical network configuration and the Customers served by each distribution transformer. By using the monthly energy consumption of Customers in Customer information system (CIS) and the typical daily load patterns of Customer Classes, the hourly loading profiles of distribution transformers and service zones can be derived to solve the loadings of each primary feeder and lateral. The sensitivity analysis of load demand with respect to the temperature change for each Customer Class is performed by statistic regression according to the actual Customer power consumption and temperature data. The load contribution by each Customer Class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of a service district with temperature change. To investigate the temperature effect to the distribution feeder, two of the Taipower distribution feeders are selected for computer simulation. The power demand at each load bus of the distribution feeder is calculated by applying the temperature sensitivity and the three- phase load flow analysis is then executed to find the new feeder loading and power loss with the temperature change.
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Load profile synthesis and wind power generation prediction for an isolated power system
IEEE Systems Technical Conference on Industrial and Commercial Power 2005., 2005Co-Authors: C.s. Chen, Y.l. Ke, C.w. HuangAbstract:This paper investigates the load composition by load survey study and predicts the wind power generation with a probabilistic network for an isolated power system. The power consumption by each Customer-Class with the application of load patterns and the total power consumption of all Customers within the same Class can be obtained and calculated. Probabilistic neural network (PNN) solves the wind power generation based on the wind speed for an offshore island in Taiwan. With the hourly wind speed and load composition, the power generation of diesel generators has been obtained. Results of this study demonstrate that wind power generation can economically and effectively replace the generation of the diesel power plant and provide partial power supply capability for the net peak load requirement
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Synthesis of system power profile and temperature sensitivity analysis
2003 IEEE Bologna Power Tech Conference Proceedings, 2003Co-Authors: C.s. Chen, T.y. Yo, C.w. HuangAbstract:This paper is to investigate the load composition of power systems by load survey study and to perform the temperature sensitivity analysis of system power demand. The stratified random sampling has been applied to select the test Customers so that the typical load patterns derived can represent the load behavior of each Customer Class with specified confidence level. The contribution of system power consumption by each Customer Class can be derived with the application of load patterns obtained and the total power consumption of all Customers within the same Class. To analyze the impact of temperature rise to the system power consumption, the temperature sensitivity of power consumption for each Customer Class has been solved. The increase of power consumption for /spl bsol//spl deg/C temperature rise has been determined by the load composition and temperature sensitivity.
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Temperature sensitivity analysis of system power profiles
2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262), 2001Co-Authors: C.s. Chen, J.c. Hwang, J.c. Wang, C.w. HuangAbstract:This paper proposes a novel methodology to estimate the impact of temperature rise to the system power consumption. The load survey study is performed to derive the typical load patterns of the residential, commercial, and industrial Customer respectively. By analyzing the relationship of Customer power consumption and temperature, the temperature sensitivity of power consumption for each Customer Class is determined. By integrating the typical load patterns and total energy consumption, the daily power profiles and load composition of the Taipower system has been obtained. With the load compositions and temperature sensitivities of all Customer Classes, the hourly increase of system power loading due to temperature rise is solved. According to the study, the peak loading of the Taipower system will be increased by 585 MW or 2.4% of the system power demand for each 1/spl deg/C temperature rise. The actual Taipower system loading is used to verify the accuracy of the temperature sensitivity solved by the proposed method. It is concluded that the power increase due to temperature rise has been mainly contributed by the usage of air conditioners in the commercial and residential Customers.
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Temperature effect to distribution system load profiles and feeder losses
IEEE Transactions on Power Systems, 2001Co-Authors: C.s. Chen, J.c. Hwang, C.w. HuangAbstract:A systematic procedure is proposed to study the effect of temperature change to the power system load demand by using the typical load patterns of Customer Classes. The billing data of all service Customers are retrieved to derive the daily load profile of the selected Taipower district. To verify the accuracy of the estimated load composition, the simulation results are compared to the actual load profile collected by the SCADA system. The sensitivity analysis of load demand with respect to the temperature change for each Customer Class is performed by statistic regression according to the actual Customer power consumption and temperature data. The load contribution by each Customer Class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of a service district with temperature change. To investigate the temperature effect to the distribution system operation, one of the Taipower distribution feeders is selected for computer simulation. The power demand at each load bus of the distribution feeder is calculated by applying the temperature sensitivity and the three-phase load flow analysis is then executed to find the new feeder loading and power loss with the temperature change.
C.s. Chen - One of the best experts on this subject based on the ideXlab platform.
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Implementation of a systematic distribution transformer load management in Taipower
IET Generation Transmission & Distribution, 2009Co-Authors: C.s. Chen, T. T. KuAbstract:The practice of transformer load management (TLM) in Taipower to determine the daily power profile and the peak loading of distribution transformers by integration of Customer information systems (CISs) such as, automated mapping/facilities management/geographic information system and load survey system is presented. The load survey study is conducted by selecting 672 Customers for installation of digital power meters to measure the Customer power consumption within 15 min intervals. The typical load patterns of low-voltage residential, commercial and industrial Customer Classes are derived by executing statistic analysis of power consumption of test Customers. A narrow-band power line carrier-based identifier is developed to identify all of the Customers served by each distribution transformer. The hourly power consumption of each Customer is determined by allocating the monthly energy consumption according to the typical load pattern of the corresponding Customer Class. The peak loading of each distribution transformer is then estimated by integrating the power consumption of all Customers served. The overloading flags and peak loading levels of all transformers are then displayed on the digital mapping system. The TLM program proposed in this study has effectively assisted Taipower distribution engineers to identify the potentially overloading transformers for load reduction to mitigate the transformer damage during the hot summer season.
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Temperature Effect to Distribution Feeder Load Profiles and Losses
2006 International Conference on Power System Technology, 2006Co-Authors: C.s. Chen, M. S. Kang, T. T. Ku, J. S. Huang, Z. S. Chiou, C.w. HuangAbstract:A systematic procedure is proposed to study the effect to temperature change to distribution feeder load profiles and losses by using the typical load patterns of Customer Classes. The database of an automated mapping/facility management (AM/FM) system is used to retrieve the component attributes and the topology process is executed to determine the electrical network configuration and the Customers served by each distribution transformer. By using the monthly energy consumption of Customers in Customer information system (CIS) and the typical daily load patterns of Customer Classes, the hourly loading profiles of distribution transformers and service zones can be derived to solve the loadings of each primary feeder and lateral. The sensitivity analysis of load demand with respect to the temperature change for each Customer Class is performed by statistic regression according to the actual Customer power consumption and temperature data. The load contribution by each Customer Class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of a service district with temperature change. To investigate the temperature effect to the distribution feeder, two of the Taipower distribution feeders are selected for computer simulation. The power demand at each load bus of the distribution feeder is calculated by applying the temperature sensitivity and the three- phase load flow analysis is then executed to find the new feeder loading and power loss with the temperature change.
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Load profile synthesis and wind power generation prediction for an isolated power system
IEEE Systems Technical Conference on Industrial and Commercial Power 2005., 2005Co-Authors: C.s. Chen, Y.l. Ke, C.w. HuangAbstract:This paper investigates the load composition by load survey study and predicts the wind power generation with a probabilistic network for an isolated power system. The power consumption by each Customer-Class with the application of load patterns and the total power consumption of all Customers within the same Class can be obtained and calculated. Probabilistic neural network (PNN) solves the wind power generation based on the wind speed for an offshore island in Taiwan. With the hourly wind speed and load composition, the power generation of diesel generators has been obtained. Results of this study demonstrate that wind power generation can economically and effectively replace the generation of the diesel power plant and provide partial power supply capability for the net peak load requirement
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Synthesis of system power profile and temperature sensitivity analysis
2003 IEEE Bologna Power Tech Conference Proceedings, 2003Co-Authors: C.s. Chen, T.y. Yo, C.w. HuangAbstract:This paper is to investigate the load composition of power systems by load survey study and to perform the temperature sensitivity analysis of system power demand. The stratified random sampling has been applied to select the test Customers so that the typical load patterns derived can represent the load behavior of each Customer Class with specified confidence level. The contribution of system power consumption by each Customer Class can be derived with the application of load patterns obtained and the total power consumption of all Customers within the same Class. To analyze the impact of temperature rise to the system power consumption, the temperature sensitivity of power consumption for each Customer Class has been solved. The increase of power consumption for /spl bsol//spl deg/C temperature rise has been determined by the load composition and temperature sensitivity.
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Temperature sensitivity analysis of system power profiles
2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262), 2001Co-Authors: C.s. Chen, J.c. Hwang, J.c. Wang, C.w. HuangAbstract:This paper proposes a novel methodology to estimate the impact of temperature rise to the system power consumption. The load survey study is performed to derive the typical load patterns of the residential, commercial, and industrial Customer respectively. By analyzing the relationship of Customer power consumption and temperature, the temperature sensitivity of power consumption for each Customer Class is determined. By integrating the typical load patterns and total energy consumption, the daily power profiles and load composition of the Taipower system has been obtained. With the load compositions and temperature sensitivities of all Customer Classes, the hourly increase of system power loading due to temperature rise is solved. According to the study, the peak loading of the Taipower system will be increased by 585 MW or 2.4% of the system power demand for each 1/spl deg/C temperature rise. The actual Taipower system loading is used to verify the accuracy of the temperature sensitivity solved by the proposed method. It is concluded that the power increase due to temperature rise has been mainly contributed by the usage of air conditioners in the commercial and residential Customers.
J.c. Hwang - One of the best experts on this subject based on the ideXlab platform.
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Temperature sensitivity analysis of system power profiles
2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262), 2001Co-Authors: C.s. Chen, J.c. Hwang, J.c. Wang, C.w. HuangAbstract:This paper proposes a novel methodology to estimate the impact of temperature rise to the system power consumption. The load survey study is performed to derive the typical load patterns of the residential, commercial, and industrial Customer respectively. By analyzing the relationship of Customer power consumption and temperature, the temperature sensitivity of power consumption for each Customer Class is determined. By integrating the typical load patterns and total energy consumption, the daily power profiles and load composition of the Taipower system has been obtained. With the load compositions and temperature sensitivities of all Customer Classes, the hourly increase of system power loading due to temperature rise is solved. According to the study, the peak loading of the Taipower system will be increased by 585 MW or 2.4% of the system power demand for each 1/spl deg/C temperature rise. The actual Taipower system loading is used to verify the accuracy of the temperature sensitivity solved by the proposed method. It is concluded that the power increase due to temperature rise has been mainly contributed by the usage of air conditioners in the commercial and residential Customers.
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Temperature effect to distribution system load profiles and feeder losses
IEEE Transactions on Power Systems, 2001Co-Authors: C.s. Chen, J.c. Hwang, C.w. HuangAbstract:A systematic procedure is proposed to study the effect of temperature change to the power system load demand by using the typical load patterns of Customer Classes. The billing data of all service Customers are retrieved to derive the daily load profile of the selected Taipower district. To verify the accuracy of the estimated load composition, the simulation results are compared to the actual load profile collected by the SCADA system. The sensitivity analysis of load demand with respect to the temperature change for each Customer Class is performed by statistic regression according to the actual Customer power consumption and temperature data. The load contribution by each Customer Class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of a service district with temperature change. To investigate the temperature effect to the distribution system operation, one of the Taipower distribution feeders is selected for computer simulation. The power demand at each load bus of the distribution feeder is calculated by applying the temperature sensitivity and the three-phase load flow analysis is then executed to find the new feeder loading and power loss with the temperature change.
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Temperature adaptive switching operation for distribution systems
IEEE Transactions on Power Delivery, 2001Co-Authors: C.s. Chen, J.c. Hwang, C.w. HuangAbstract:This paper investigates the optimal switching problem of distribution systems by considering the Customer load characteristics and the effect of temperature change to the Customer loading. The load survey is applied to derive the typical load patterns of residential, commercial, and industrial Customer Classes. The power consumption of sample test Customers and weather information are used to solve the hourly temperature sensitivity of power consumption for each Customer Class. All the Customers served by each distribution transformer are identified and their monthly energy consumption is retrieved from the Customer information system in Taipower. The hourly loading of each service zone and its change due to temperature rise are obtained based on the Customer load consumption and its temperature sensitivity. By performing the connectivity trace to find the feeder configuration and executing the three-phase load flow analysis, the hourly current loading of line switches, distribution feeders, and main transformers in substations are solved. The binary integer programming is then applied to determine the temperature adaptive optimal switching operation for noninterruptible load transfer among distribution feeders and main transformers.
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Temperature Adaptive Switching Operation for Distribution Systems
IEEE Power Engineering Review, 2001Co-Authors: C.s. Chen, J.c. Hwang, M. S. Kang, C.w. HuangAbstract:This purpose of this paper is to investigate the optimal switching problem of distribution systems by considering the Customer load characteristics and the effect of temperature change on Customer loading. The load survey is applied to derive the typical load patterns of residential, commercial, and industrial Customer Classes. The power consumption of sample test Customers and weather information are used to solve the hourly temperature sensitivity of power consumption for each Customer Class. All the Customers served by each distribution transformer are identified and their monthly energy consumption is retrieved from the Customer information system in Taipower. The hourly loading of each service zone and its change due to temperature rise are obtained based on the Customer load consumption and its temperature sensitivity. By performing the connectivity trace to find the feeder configuration and executing the three-phase load flow analysis, the hourly current loading of line switches, distribution feeders, and main transformers in substations is solved. The binary integer programming is then applied to determine the temperature adaptive optimal switching operation for noninterruptible load transfer among distribution feeders and main transformers.
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Implementation of the load survey system in Taipower
1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333), 1999Co-Authors: C.s. Chen, J.c. Hwang, C.w. HuangAbstract:This paper illustrates the load survey project which has been designed and implemented in Taipower since 1993. The multiple functions of power system planning and operation to be supported by the load survey system have been identified to justify the cost effectiveness of the project. The stratified sampling algorithm has been applied to determine the proper size of Customers for the installation of intelligent meters so that the Customer load profiles solved can represent the actual system load characteristics in a sufficiently confidential level. In the study, the test Customers within each Customer Class are selected by the random number method based on the standard deviation of power consumption of all Customers in the Class. The power consumption of test Customers within every 15 minutes has been collected for 4 years and the statistic analysis has been applied to derive the typical load patterns of each Customer Class. With the precious information provided by the load survey system, Taipower is considering to revise the load forecasting and system planning, to design more proper tariff structure according to the actual contribution of power consumption by each Customer Class and the corresponding electricity service cost. By investigating the load composition of each Customer Class, more effective load management strategies are also designed by Taipower to reduce the system load demand during summer peak period.
Meei-song Kang - One of the best experts on this subject based on the ideXlab platform.
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Generation Cost Assessment of an Isolated Power System With a Fuzzy Wind Power Generation Model
IEEE Transactions on Energy Conversion, 2007Co-Authors: Meei-song KangAbstract:This paper presents a fuzzy set based modeling of wind power generation. The wind power generation has been solved by the proposed fuzzy generation for an island in Taiwan. The cost effectiveness of wind power generation is then evaluated by calculating the avoided generation cost of diesel generators. The load survey study has been performed to find the typical daily load patterns of various Customer Classes. With the typical load patterns and total energy consumption by each Customer Class, the load composition and daily power profile of the isolated power system are therefore derived. The wind power generation of eight wind turbines and the corresponding avoided generation cost is estimated by the fuzzy generation model according to the hourly wind speed. The power generation and the corresponding cost of diesel generators required to meet the system power demand with wind power generation have therefore been obtained. It is found that the wind power generation can economically and effectively substitute the generation cost of the diesel power plant and provide the partial power supply capability for the net peak load demand.
Sriram Dasu - One of the best experts on this subject based on the ideXlab platform.
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Analysis of the ΣPhi/Ph/1 Queue
Operations Research, 1994Co-Authors: Gabriel R Bitran, Sriram DasuAbstract:In this paper, we analyze a queue to which the arrival process is the superposition of separate arrival streams, each of whose interarrival time distributions is of phase type, and the service time distribution is also of phase type. The performance measures derived for this queue include: the distribution of the number in the system as seen by each Customer Class upon arrival, Laplace-Stieltjes transform LST of the waiting-time distribution for each Customer Class, stationary interdeparture time distribution and the lag correlation coefficients of the departure process, and characteristics of the tails of the waiting time and queue length distributions.
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Analysis of the $\Sigma Ph/Ph/1$ queue
Operations research, 1994Co-Authors: Gabriel R Bitran, Sriram DasuAbstract:Analyzes a queue to which the arrival process is the superposition of separate arrival streams, each of whose interarrival time distributions is of phase type, and the service time distribution is also of phase type. Derivation of performance measures for the queue; Description of the structure of the Markov chain that corresponds to the queuing system; Asymptotic tails of the waiting time distribution and the distribution of the number in queue.ABSTRACT FROM AUTHOR; In this paper, we analyze a queue to which the arrival process is the superposition of separate arrival streams, each of whose interarrival time distributions is of phase type, and the service time distribution is also of phase type. The performance measures derived for this queue include: the distribution of the number in the system as seen by each Customer Class upon arrival, Laplace-Stieltjes transform (LST) of the waiting-time distribution for each Customer Class, stationary interdeparture time distribution and the lag correlation coefficients of the departure process, and characteristics of the tails of the waiting time and queue length distributions.
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ANALYSIS OF THE ΣPh/Ph/1 QUEUE
Operations Research, 1994Co-Authors: Gabriel R Bitran, Sriram DasuAbstract:In this paper, we analyze a queue to which the arrival process is the superposition of separate arrival streams, each of whose interarrival time distributions is of phase type, and the service time distribution is also of phase type. The performance measures derived for this queue include: the distribution of the number in the system as seen by each Customer Class upon arrival, Laplace-Stieltjes transform (LST) of the waiting-time distribution for each Customer Class, stationary interdeparture time distribution and the lag correlation coefficients of the departure process, and characteristics of the tails of the waiting time and queue length distributions. [ABSTRACT FROM AUTHOR]
